An Adaptive Fault-Tolerant and Congestion Controlled Selection Strategy for Networks on Chip

Title:An Adaptive Fault-Tolerant and Congestion Controlled Selection Strategy for Networks on Chip

Volume: 11 Issue: 1

Author(s): Ashima Arora*, Neeraj K. Shukla and Shaloo Kikan

Affiliation:

• Department of Electrical and Electronics and Communication Engineering, The North Cap University, Gurugram, Haryana,India

Keywords: Congestion, fault-tolerant, fuzzy controller, networks on a chip, congestion, hardware performance.

Abstract:

Background & Objective: Networks on chip are being developed as a communication infrastructure in the design of multiprocessor SOCs. With the reduction in feature size, transient faults on the links are becoming a major issue on the performance of NOCs.

Methods: In this paper, two fault-tolerant algorithms are proposed. In the first algorithm, a faulty link tolerant algorithm is designed which by measuring network loads on the links will reduce transient faults and balances the load. To address the effect of hardware faults, fault and congestion controlled algorithm is designed that not only control the congestion, but also the faults on both links and the nodes.

Results: The packet size is taken as 8 flits and data width of 32 bits are considered for all switches. Input buffers are having 8 slots for storing data. The simulations are carried over two synthetic traffic scenarios that are, hotspot and transpose.

Conclusion: The proposed strategies are evaluated on two different synthetic traffic patterns and the results so obtained shows better network and hardware performance of both the routing in comparison with non-fault-tolerant routing.

Cite this article as:

Arora Ashima *, Shukla K. Neeraj and Kikan Shaloo , An Adaptive Fault-Tolerant and Congestion Controlled Selection Strategy for Networks on Chip, International Journal of Sensors, Wireless Communications and Control 2021; 11 (1) . https://dx.doi.org/10.2174/2210327909666190409114926